Rare diseases have problems with low number of cases, low social awareness, and long time of diagnosis. “Targeted doctor” is the first step to help rare disease patients start the correct path of diagnosis and treatment. This article introduces the design of a decision-making engine for patients with rare diseases by constructing a knowledge graph of rare diseases and experts, using an intelligent question-and-answer system, and combining big data and artificial intelligence methods. This engine can perform rare disease pre-screening based on patient portraits and other information, and recommend the best visiting route to patients, thereby improving the efficiency of rare disease patients’ medical service system and enhancing the decision-making ability of rare diseases.
In 2021, West China Hospital of Sichuan University established a rare disease diagnosis and treatment and research center. The center adopts the rare disease management model of “one cohesion + four integration”, condenses the core of management, integrates clinical resources, regional alliance resources, training resources and research resources, and explores solutions for all-round services for patients with rare diseases. This article aims to explore the rare disease management model of regional central hospitals and introduces the above-mentioned rare disease management model. The purpose of this article is to promote this model, focus on the advantages of clinical departments and research institutes (offices), increase regional integration, give play to the synergy of regional alliances in clinical diagnosis and treatment and personnel training, and use international cooperation as an opportunity to promote breakthroughs in new drugs and technologies for rare diseases to benefit patients with rare diseases in China.
At present, the health management of chronic diseases in China is still in its infancy. In the face of an increasingly large group of patients with chronic diseases, large general public hospitals often lack a systematic and standardized chronic disease continuity management system. In order to solve the problem of patients’ medical difficulties, popularize the hospitals’ innovative medical services, and promote the professional development of clinical departments, taking the continuous health management model of chronic diseases constructed by West China Hospital of Sichuan University as an example, this paper introduces the background, organizational structure and service process of the system construction in turn. The purpose is to build a new health service model of “smart hospital”, and also provide a reference for the construction of standardized chronic disease management system in hospitals, which will lay a foundation for further constructing a top-down chronic disease whole process system linked with communities and hospitals in the later stage.
At present, there are some problems in the post-diagnosis service of rare diseases, such as immature service path, imperfect health supervision and discontinuous to post-diagnosis data flows. How to properly solve these problems and find a way to promote the post-diagnosis service of rare diseases is the focus now. Based on the actual situation of diagnosis and treatment of patients with rare diseases in West China Hospital of Sichuan University and literature. This paper finds that making full use of the method of intelligent continuous management, establishing a continuous health management system, and integrating rare disease data information through intelligent health management platform and internet medical treatment can alleviate the shortage of medical resources and solve the dilemma of post-diagnosis service of rare diseases. At the same time, this paper analyzes the dilemma of post-diagnosis services of rare diseases and the feasible countermeasures of intelligent medical assistance management, and explores the management of rare diseases led by tertiary hospitals and joint built by medical units of the hospital alliance, in response to the national graded diagnosis and treatment policy, so as to provide all-round health protection for patients with rare diseases for reference and learning.
With the rapid development of information science and technology, the development of internet medical service is irresistible, forming a new situation of digital ecological environment of medical cloud service. However, reform and innovation of medical service mode have brought many problems and challenges to the elderly with low level of information literacy and difficult operation of information and intelligent applications on mobile phones, forming a “digital gap” with intelligent medicine. This paper analyzes the status quo of the digital divide in the elderly group, and classifies the elderly according to the pain and difficulty of the elderly wisdom, and then implements a series of online and offline aging adaptation to build a harmonious and humanistic care Internet plus medical service ecosystem for the elderly. The project is closely related to the physical and psychological transformation of the elderly, and can be used for reference.